Yes it should
here is fastai example, just in case 🙂
https://github.com/allegroai/clearml/blob/master/examples/frameworks/fastai/fastai_with_tensorboard_example.py

I think the clearml-session CLI is missing the ability to add cutom port to the external address, does that make sense ?

Yes (Mine isn't and it is working 🙂 )

My goal is to automatically run the AWS Autoscaler task on a clearml-agent pod when I deploy

LovelyHamster1 this is very cool!
quick question, if you are running on EKS, why not use the EKS autoscaling instead of the ClearML aws EC2 autoscaling ?

Thank you ElegantCoyote26 for catching that! 😍

Hi WackyRabbit7
First always check the functions on the Task object, they are the most straight forward access to the system.
Then if you need general purpose API calls, currently they are only documented in the doc-string of the API schema (that said it should be quite documented)
You can check all the endpoints https://github.com/allegroai/trains/tree/master/trains/backend_api/services/v2_8
And finally if you want to easily use the RestAPI :
` from trains.backend_api.session.client impo...

Hi ColossalDeer61 ,
the next trains-agent RC (solving the #196 issue) will also solve the double install issue 🙂

trains-agent build --docker nvidia/cuda --id myTaskId --target base_env_services
It's building a gpu enabled docker...
you might want a diff container or to specific --cpu-only

I'll make sure we add the reference somewhere on GitHub

Xeon E3-1240: 4 - 5 hours!wow... yes definitely worth upgrading 🙂

Hi SubstantialElk6

We will be running some GUI applications so is it possible to forward the GUI to the clearml-session?

If you can directly access the machine running the agent, yes you could. If not reverse proxy is in the working 😉

We have a rather locked down environment so I would need a clear view of the network view and the ports associated.

Basically all connections are outgoing only, with the exception of the clearml-server (listening on ports 8008 8080 8081)

the parameter datatypes are not being changed when loading them up.

These are the auto logged parameters , inside YOLO, correct?
Just to make sure, you can actually see the value None in the UI, is that correct? (if everything works as expected, you should see empty string there)

Hi TrickySheep9
Hmm I think you are correct, exit remotely will not work inside a jupyter notebook because it will not be able to close it.

I was just revising workflows that might be similar, wdyt?
https://clearml.slack.com/archives/CTK20V944/p1620506210463400?thread_ts=1614234125.066600&cid=CTK20V944

Very odd, I still can't reproduce. This is just the cleanup service running without anything else ?
What's the clearml version it is using ?

If there is new issue will let you know in the new thread

Thanks! I would really like to understand what is the correct configuration

pip install clearml==1.0.6rc2Did not work?!

The warning just let's you know the current processes stopped and itis being launched on a remote machine.
What am I missing? Is the agent failing to run the job that you create manually ?
(notice that when creating a job manually, there is no "execute_remotely", you just enqueue it, as it is not actually "running locally")
Make sense ?

👍

(with matplotlib 3.2+ I get no warning, let me check with 3.1)

Well if we the "video" from TB is not in mp4/gif format than someone will have to encode it.
I was just pointing that for the encoding part we might need additional package

Nice!

PompousParrot44 did you manage to get it working ?

Hi @<1556450111259676672:profile|PlainSeaurchin97>

Is there any simple way to use

argparse

to pass a clearml task name?

need to call

args = task.connect(args)

.

noooo 🙂 there is no need to do that, the arguments are automatically detected
see for yourself

args = parse_args()
task = Task.init(task_name=args.task_name)

Sure

Hi BoredHedgehog47
You mean like EFS for caching ?

Hi @<1541954607595393024:profile|BattyCrocodile47>

Has anyone used ClearML for this use case?

you mean as experiment management / model registry / data? I think this is the bread&butter of clearml 🙂
regrading the other options ion the list, I think most of them are alternatives to metaflow, not covering the parts you mentioned, no?

Hi GreasyPenguin14
Yes, I think you are right the series name should be next to the title. Let me check it...

This only talks about bugs reporting and enhancement suggestions

I'll make sure this is fixed 🙂

The imports inside the functions are because the function itself becomes a stand-alone job running on a remote machine, not the entire pipeline code. This also automatically picks packages to be installed on the remote machine. Make sense?

So there is a hack for it:
CLEARML_OFFLINE_MODE=1 python3 my_main.pyWhich is the same as calling Task.set_offline
Then inside the code After the Task.init call:
` task = Task.init(...)

not sure what the if here is?!

Task.debug_simulate_remote_task(task_id="offline-1") `This will make things act as if this is running remotely , i.e. your logic Task.running_remotely() will be called.
Do notice that in remote mode, all the arguments / data is read from the clearml-server into the cod...